Analyzing newspaper front pages
PageOneX is an open source tool to code, analyze and visualize the evolution of stories on newspaper front pages. In the future it will allow to compare newspaper with social media coverage. Newspaper front pages are a key source of data about our media ecology. Newsrooms spend massive time and effort deciding what stories make it to the front page. PageOneX makes coding and visualizing newspaper front page content much easier, democratizing access to newspaper attention data.
Communication researchers have analyzed newspaper front pages for decades, using slow, laborious methods. PageOneX simplifies, digitizes, and distributes the process across the net.
A semi-automated version of the tool has been tested, and we have produced several interesting examples: http://numeroteca.org/cat/frontpage-newspaper/. The first version of the tool, https://github.com/numeroteca/PageOneX, scrapes front pages from the web (kiosko.net) and builds a matrix of images that must be manually coded in inkscape.
Fork the project
Get the code of the project at https://github.com/numeroteca/PageOneX-ruby
Report bugs and suggestions at http://bit.ly/pageonextest or at pablo --at- basurama.org
Soon we will be using http://pageonex.com to provide all the info regarding the project.